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Complete BFS-1#1625

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paridhimalviya wants to merge 1 commit intosuper30admin:masterfrom
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Complete BFS-1#1625
paridhimalviya wants to merge 1 commit intosuper30admin:masterfrom
paridhimalviya:master

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@paridhimalviya
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@super30admin
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Strengths:

  • You have correctly implemented both BFS and DFS approaches for level order traversal.
  • The BFS solution correctly uses a queue to process nodes level by level, and the DFS solution efficiently uses recursion to collect nodes by level.
  • You have considered edge cases, such as when the root is nil.

Areas for Improvement:

  • Remove unrelated code and comments. The CourseSchedule class and its comments are not relevant to the level order traversal problem and should be omitted to keep the solution focused.
  • Ensure that all necessary data structures (like QueueUsingLL) are implemented correctly and are efficient. If this is part of a larger codebase, it's acceptable, but for standalone solutions, it's better to use standard libraries or provide the implementation.
  • Avoid code duplication. The DFS solution includes duplicate functions (levelOrderDeuplicate and dfsDuplicate), which are not needed. Stick to one implementation.
  • Improve code readability by removing excessive comments that are not directly related to the problem. For example, the long comments about topological sort and graph representation are not necessary for this problem.
  • In the BFS solution, the function levelOrderTraversalWithoutElementsSegregation is not used and does not produce the required output (it returns a flat list instead of a list of lists). It should be removed or modified to meet the problem requirements.

Overall, your solution is correct and efficient, but it would benefit from being more concise and focused on the problem at hand.

@super30admin
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Strengths:

  • You have implemented both BFS and DFS solutions, showing a deep understanding of the problem.
  • The code is well-commented and structured, making it easy to follow.
  • You correctly use a queue for BFS and recursion for DFS, and you understand the importance of tracking levels.

Areas for Improvement:

  • In the BFS solution (levelOrderTraversal), when the root is nil, you return [[]] instead of []. The problem expects an empty list for an empty tree. You should return [] in that case.
  • Ensure that your custom queue implementation has efficient operations (O(1) for enqueue, dequeue, size, and isEmpty). If not, consider using a standard library queue (like Array with appropriate indexing) for better performance and simplicity.
  • The DFS solution is correct, but note that for very large trees (beyond the constraints), recursion might cause a stack overflow. However, given the constraints (2000 nodes), it is acceptable. Alternatively, you could mention an iterative DFS approach using a stack if you want to avoid recursion.
  • The function levelOrderTraversalWithoutElementsSegregation is not needed for the problem and might be confusing. It's good to explore, but for the solution, focus on the required output.

Minor note: In the DFS solution, the function levelOrderDeuplicate has a typo in the name ("Deuplicate" should be "Duplicate"). Also, the function dfsDuplicate is redundant since it does the same as dfs. It's better to avoid duplication.

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